Online Program

334295
Calculating Health Center Level Anti-Hypertensive Medication Non-Adherence Rates: Lessons Learned in New York State


Tuesday, November 3, 2015

Tara Cope, MS, Bureau of Health Care Analytics, Division of Information and Statistics, New York State Department of Health, Albany, NY
Rachael Austin, MPH, CPH, Bureau of Chronic Disease Evaluation and Research, New York State Department of Health, Albany, NY
Lindsay Cogan, PhD, Bureau of Quality Measurement and Evaluation, New York State Department of Health, Albany, NY
Ian Brisette, PhD, Bureau of Chronic Disease Evaluation and Research, New York State Department of Health, Albany, NY
The New York State Department of Health partnered with Health Center Network of New York and three member Federally Qualified Health Centers (FQHCs) to complete a pilot study examining anti-hypertensive medication (AHM) adherence among Medicaid recipients. The goals were to calculate an FQHC level non-adherence rate, the percentage of individuals prescribed an AHM who never filled the prescription, and to provide each FQHC with a list of patients who failed to fill their prescriptions.

Since there was no single system capturing both medication prescribing and dispensing data, the pilot required a parallel process of identifying individuals with diagnosed hypertension using both the FQHC electronic medical record data and Medicaid data. The pilot also required developing a comprehensive list of AHMs, a process to attribute Medicaid recipients to individual FQHCs, and a method to calculate the non-adherence rate. The project team successfully generated the list of AHMs and completed attribution. However, the attributed population using Medicaid data was 12% lower than the individuals identified using the FQHC data. As such the non-adherence rate (20%) was deemed unreliable.

The results of the pilot suggest it is not feasible to pursue calculating this measure using the method tested. It also highlights the need for using more direct methods for calculating non-adherence in a defined patient population, such as obtaining a list of patients who were prescribed AHMs to link to the Medicaid data or partnering with a health system that can provide access to both medication prescribing and dispensing data for its members.

Learning Areas:

Chronic disease management and prevention
Public health or related research

Learning Objectives:
Explain the process for calculating the primary non-adherence measure using a combination of electronic health records and Medicaid pharmacy claims data and identify the limitations of this process. Describe the lessons learned by NYS in partnering with HCNNY to calculate the non-adherence measure.

Keyword(s): Adherence, Quality Improvement

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I was the original Research Scientist (funded by the ASTHO Million Hearts Grant) who participated on the medication adherence project team and worked collaboratively with all members of the project team to complete the initial work of developing a list of AHM medications, identifying and modifying measure specifications, and creating an analysis plan. I have been and continue to be an active participant on this project team.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.